New my6sense API Gives You "hyper personalized" Streams

Keeping on top of the streams of information coming from the web is neigh impossible without help. Numbers like 50 million Twitter posts per day highlight just how much information there is to wade through. But thanks to a new service from my6sense finding the information you want just got easier. Their Digital Intuition technology will analyze your interactions to provide personalized streams, and now that functionality is available to developers with their new API (our my6sense API profile):

Our relationship with information is dramatically changing – more and more information now flows into our personal space, wherever and whenever. This transformation from a 'web of pages' into 'web of streams' is rapidly creating an attention crisis, especially on mobile platforms. In a world where content finds us, there is a basic need for a new way to curate and prioritize the information pouring in.

With the Attention API, application developers and content publishers can directly address this challenge with hyper-personalized streams that allow their users to focus on the most relevant content, at the right time and in the right context.

The good news for developers is that the API does not require users to change the way they consume information:

The my6sense service requires zero end user intervention — there's no need for users to provide explicit feedback or answer questions like 'Do you want to see more stories like this?' The system hones in on natural content consumption behavior, including clicks, views, shares, and comments.

The technology is already available to mobile users with the iPhone and iPod Touch my6sense applications, while a Firefox closed alpha hints at an upcoming browser add on for desktop users.

Developers can get more information on the Attention API page. Support for the API is currently limited to a forum, but a documentation Wiki is promised in the near future.

About the author:Matthew Casperson
Matthew is a freelance writer, focusing on web and multimedia technologies. His work can be found featured on Programmable Web, Brighthub, Hubfolio, Chrome Experiments, Informit, Flash Tuts Plus and The Tech Labs.